Prepare a table showing the total fixed cost per month and variable cost per ingot under each of the three methods used in problem 5-18 and 5-19 (Sebolt Wire Company) Unifying Concepts: High-Low Method, Scatterplot, and Least Squares Methods Controller material handling cost regression high low costs Cost Formula Using the High Low Method Multiple Choice: Weaknesses of the high-low method inc... only two observations are used to develop the cost function. Various cost allocation methods are used to allocate factory overhead costs to units of production. The major disadvantage of direct method is that it ignores interdepartmental services and can therefore lead to distorted products and services cost. The following computer output was received: Least squares method, also called least squares approximation, in statistics, a method for estimating the true value of some quantity based on a consideration of errors in observations or measurements. Ninety-six data points from monthly data were used for the regression. Excel tools also provide for detailed regression computations. Thus, the least-squares regression equation for the given set of excel data is calculated. the method does not detect if the cost behavior is nonlinear. the high and low activity levels may not be representative. Regression techniques are useful for improving decision-making, increasing efficiency, finding new insights, correcting … Method of Least Squares, Developing and Using the Cost Formula. Using the equation, predictions, and trend analyses may be made. The least squares regression uses a complicated equation to graph fixed and variable costs along with the regression line of cost behavior. Method of Least Squares As cautioned, the high-low method can be quite misleading. Question Advantages of the method of least squares over the high-low method include all of the following EXCEPT Answer 249. b 1,b 2 b n are changes in cost with the change in value of cost driver i.e. But these share primary advantages and … The least-squares method of regression analysis is best suited for prediction models and trend analysis. The reason is that cost data are rarely as linear as presented in the preceding illustration, and inferences are based on only two observations (either of which could be a statistical anomaly or "outlier"). Allocations are performed in order to create financial statements that are in compliance with the applicable accounting framework.The most common allocation methods are noted in the following bullet points, along with commentary about their advantages and disadvantages: The process of using past cost information to predict future costs is called cost estimation. 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